{"id":"W2531154020","doi":"10.1021/acs.iecr.6b03018","title":"Artificial Neural Networks for Accurate Prediction of Physical Properties of Aqueous Quaternary Systems of Carbon Dioxide (CO<sub>2</sub>)-Loaded 4-(Diethylamino)-2-butanol and Methyldiethanolamine Blended with Monoethanolamine","year":2016,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Faculty of Graduate Studies and Research, University of Regina","keywords":"Thermal diffusivity; Amine gas treating; Carbon dioxide; Aqueous solution; Chemistry; Correlation coefficient; Viscosity; Alkanolamine; Materials science; Analytical Chemistry (journal); Thermodynamics; Chromatography; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005003571,0.0003236592,0.0006612885,0.0001554027,0.00003018634,0.00001783153,0.0002592081,0.0003483523,6.477568e-7],"category_scores_gemma":[0.0002332557,0.0002483285,0.00009413061,0.0003462147,0.000243739,0.0001428867,0.00007171942,0.0004766847,9.060165e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211538,"about_ca_system_score_gemma":0.00007941623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003547382,"about_ca_topic_score_gemma":0.000001078334,"domain_scores_codex":[0.997909,0.00005897908,0.0006417488,0.0003345636,0.0004928706,0.0005628444],"domain_scores_gemma":[0.9987351,0.0003837109,0.0001411473,0.000368051,0.0002401247,0.0001318964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006989606,0.00006872042,0.000110059,0.0008686314,0.0002548962,0.000006388361,0.000100467,0.06955151,0.9262335,0.00000994217,0.000002553171,0.002094423],"study_design_scores_gemma":[0.0007760937,0.0002431658,0.00002226075,0.0004383191,0.00003225112,0.00000896108,0.0000262257,0.4126481,0.5856664,0.000005725981,0.000002024325,0.0001304466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976251,0.0004688376,0.0007164601,0.00001514281,0.0001710691,0.0006900688,0.0001708247,0.000120177,0.00002231865],"genre_scores_gemma":[0.9990579,0.00005798902,0.000006167065,1.162436e-7,0.0006154043,0.0001405976,0.0000197228,0.0000888057,0.00001325751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3430966,"threshold_uncertainty_score":0.9999969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05610977666450259,"score_gpt":0.2645082329866688,"score_spread":0.2083984563221662,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}